Siddharth Matale

Senior Software and AI Backend Engineer with 6+ years of experience designing, developing, and deploying secure, production-grade microservices, multi-agent systems, and event-driven backend architectures. Hands-on expert in building agentic AI frameworks leveraging Semantic Kernel, Microsoft Agent Framework, LangGraph, OpenAI, and Azure AI Search. Extensive proficiency in Python, MLOps, building MCP servers and tools, and data processing pipelines using Databricks, Snowflake, Spark, and Spark ML.

Demonstrated expertise in evaluating AI/ML models for enterprise and Telco operations use cases (mobile network & IMS systems data processing).

Lead AI Application Engineer - Arizona State University / Kognitico - Tempe, AZ

(2024-06)

• Architect and engineer multi-agent systems and agentic AI workflows using Semantic Kernel, Microsoft Agent Framework, LangGraph, and Azure AI Factory integrations.
• Design and build custom MCP (Model Context Protocol) servers, tools, and REST APIs using Python to enable seamless function execution across distributed environments.
• Implement enterprise vector retrieval, Azure AI Search, and hybrid semantic search pipelines integrated with OpenAI models, AWS Bedrock, and SQL databases.
• Build end-to-end MLOps pipelines and data processing workflows using Databricks, Snowflake, PySpark, and Spark ML for model evaluation, feature processing, and observability.
• Evaluate AI/ML models specifically for Telco operations and high-throughput communication systems, monitoring latency, precision-recall tradeoffs, grounding, and reliability.
• Establish platform monitoring, logging, and operational controls using Prometheus and Grafana for scalable AI microservices.

Senior Software and AI Backend Engineer - CRIF Financial Solutions (Oracle) - Pune, India

(2022-02 - 2023-07)

• Designed and built secure, high-throughput RESTful APIs, microservices, and asynchronous event-driven backend platforms using Python and Java in regulated environments.
• Engineered scalable data processing pipelines and messaging platforms using Kafka and MQ to process network telemetry and transactional data.
• Architected SQL database schemas and relational data models; optimized queries and structured retrieval across distributed big data workflows.
• Implemented Pydantic validations, column-level encryption, role-based access control (RBAC), and automated CI/CD pipelines using Docker and GitHub Actions.

Software Engineer - Neuromonk - Pune, India

(2019-08 - 2022-01)

• Developed cloud-native microservices, REST APIs, and backend data processing modules using Python, Java, SQL, and JavaScript, maintaining sub-500ms latency.
• Participated in full SDLC, collaborating with cross-functional teams to translate technical requirements into maintainable, production-ready AI backend solutions.
• Contributed to test automation, containerization with Docker, and automated deployment pipelines in Linux environments.

Master of Science - Computer Science - Arizona State University (2023-08 - 2025-05) Tempe, AZ

Bachelor of Engineering - Computer Engineering - Sinhgad Institute of Technology (2017-08 - 2021-07) India